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OpenAI Profile picture
@OpenAI
Apr 6, 2022 • 8 tweets • 5 min read • Read on X
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Here’s a look at what DALL·E 2 can do. 👀🧵👇

Want to see more? Follow along on Instagram: instagram.com/openaidalle/
“A Shiba Inu dog wearing a beret and black turtleneck” #dalle
“A sea otter in the style of ‘Girl with a Pearl Earring’ by Johannes Vermeer.” #dalle
“Teddy bears mixing sparkling chemicals as mad scientists” in the style of steampunk, a 1990s Saturday morning cartoon, and digital art #dalle
“An ibis in the wild, painted in the style of John Audubon” #dalle
“A bowl of soup that looks like a monster” knitted out of wool, made of plasticine and spray painted on a wall #dalle
“A photo of a quaint flower shop storefront with a pastel green and clean white facade and open door and big window” #dalle
“A photo of an astronaut riding a horse” #dalle

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More from @OpenAI

OpenAI Profile picture
Dec 18
To preserve chain-of-thought (CoT) monitorability, we must be able to measure it.

We built a framework + evaluation suite to measure CoT monitorability — 13 evaluations across 24 environments — so that we can actually tell when models verbalize targeted aspects of their internal reasoning. openai.com/index/evaluati…
Monitoring a model’s chain-of-thought is far more effective than watching only its actions or final answers.

The more a model “thinks” (longer CoTs), the easier it is to spot issues. Image
Image
Image
RL at today’s frontier doesn’t seem to wreck monitorability and can help early reasoning steps. But there’s a tradeoff: smaller models run with higher reasoning effort can be easier to monitor at similar capability — at the cost of extra inference compute (a “monitorability tax”).
Read 5 tweets
OpenAI Profile picture
Dec 16
Accelerating scientific progress is one of the most impactful ways AI can benefit society. Models can already help researchers reason through hard problems — but doing this well means testing models on tougher evaluations and in real scientific workflows grounded in experiments.
We’re releasing a new eval to measure expert-level scientific reasoning: FrontierScience.

This benchmark measures PhD-level scientific reasoning across physics, chemistry, and biology.

It contains hard, expert-written questions (both olympiad-style problems and longer research-style tasks) designed to reveal where models succeed and where they fall short.
openai.com/index/frontier…
GPT-5.2 is our strongest model on the FrontierScience eval, showing clear gains on hard scientific tasks.

But the benchmark also reveals a gap between strong performance on structured problems and the open-ended, iterative reasoning that real research requires. Image
Image
Read 7 tweets
OpenAI Profile picture
Dec 11
GPT-5.2 is now rolling out to everyone.
openai.com/index/introduc…
GPT-5.2 Instant, Thinking, and Pro are rolling out today, starting with Plus, Pro, Business, and Enterprise plans. Free and Go users will get access tomorrow.

GPT-5.2 is also now in the API and Codex.
GPT-5.2 Thinking evals Image
Read 8 tweets
OpenAI Profile picture
Nov 24
Introducing shopping research, a new experience in ChatGPT that does the research to help you find the right products.

It’s everything you like about deep research but with an interactive interface to help you make smarter purchasing decisions.
Shopping research asks smart clarifying questions, researches deeply across the internet, reviews quality sources, and builds on ChatGPT’s understanding of you from past conversations and memory to deliver a personalized buyer’s guide in minutes.

openai.com/index/chatgpt-…
With shopping research, ChatGPT learns what you like as you shop.

You can guide the results by marketing suggested items as “Not interested” or “More like this.”

This allows the research to adapt based on your real-time feedback.
Read 7 tweets
OpenAI Profile picture
Nov 13
We’ve developed a new way to train small AI models with internal mechanisms that are easier for humans to understand.

Language models like the ones behind ChatGPT have complex, sometimes surprising structures, and we don’t yet fully understand how they work.

This approach helps us begin to close that gap.
openai.com/index/understa…
Most neural networks today are dense and highly entangled, making it difficult to understand what each part is doing.

In our new research, we train “sparse” models—with fewer, simpler connections between neurons—to see whether their computations become easier to understand.
Unlike with normal models, we often find that we can pull out simple, understandable parts of our sparse models that perform specific tasks, such as ending strings correctly in code or tracking variable types.

We also show promising early signs that our method could potentially scale to understand more complex behaviors.
Read 4 tweets
OpenAI Profile picture
Nov 12
GPT-5.1 in ChatGPT is rolling out to all users this week.

It’s smarter, more reliable, and a lot more conversational.

openai.com/index/gpt-5-1
GPT-5.1 is now better at:

- Following custom instructions
- Using reasoning for more accurate responses
- And just better at chatting overall
GPT-5.1 Instant is now warmer and more conversational.

The model can use adaptive reasoning to decide to think a bit longer before responding to tougher questions.

It also has improved instruction following, so the model more reliably answers the question you actually asked. Image
Read 5 tweets

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